Minimax least squares and quasiminimax estimation in linear models with missing values

Author:

J�nner Michaela,Stahlecker Peter

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference10 articles.

1. Afifi A. A. and Elashoff R. M.: 1966, 1967, 1969a, 1969b, Missing values in multivariate statistics: I-IV,J. Amer. Statist. Assoc. 61, 595?604;62, 10?29;64, 337?358, 359?365.

2. Anderson A. B., Basilevsky A., and Hum D. P. J.: 1983, Missing data: A review of the literature, in: P. H. Rossi, J. D. Wright and A. Anderson (eds),Handbook of Survey Research, Academic Press, New York, pp. 415?494.

3. Donner A. and Rosner B.: 1982, Missing values problems in multiple linear regression with two independent variables,Comn. Statist. 11(2), 127?140.

4. Hübler O.: 1986, Fehlende Werte in linearen Regressionsmodellen,Allgemeines Statistisches Archiv 70(2) (1986), 138?157.

5. Intriligator M. D.: 1978,Econometric Models, Techniques, and Applications, Prentice-Hall, NJ.

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